2016年最终将成为工业互联网的年份（IIOT）吗？我当然希望如此！
不幸的是，由于许多硬件产品 - 特别是网关 - 2015年宣布的IIOR尚未为IIOR宣布，但仍然没有可辨别的市场，而且可能是我们自动化供应商必须帮助最终用户面临的问题。
As I see it, the reason for the lack of market pull around IIoT is twofold: First, the value proposition is unproven and without a clear return on investment (ROI); few, if any, CFOs are going to sign off on the investment. Second, a killer app for IIoT has not yet emerged. Yes, we’ve seen predictive maintenance and similar functions touted as having the most potential. But automation users have been deploying these for a decade or more and rightly ask, “What is the difference?”
The answer to this key question is Big Data; its potential to handle the volume, velocity and variety of data collected from plant floors is needed to access the fresh insights promised by IIoT. And though Big Data is a very new and, as yet, widely untested technology in industry, we must not be afraid to look for new ways of working.
与此同时，我们必须小心不要重复我们已经在做的同样的事情。自动化问题的算法解决方案，如预防性维护，目前依赖于人类解释。结果，我们都倾向于寻找我们所知道的。与IIOT，我们应该试图从我们目前所知道的东西中受益。最近的福布斯文章将此“相关性悖论”确定为IIOT用户的关键问题。
One of the conclusions of the Forbes article is that artificial intelligence (AI) will play a crucial role in IIoT. If AI scares you, don’t be worried because, in the background, huge steps have been made with this technology in recent years—many of which may be already familiar. Google is perhaps the prime example; music apps are another. IBM’s Watson is making great strides in areas such as health. All this technology and more will find its way into automation, one way or another. Given this reality, I suspect that AI may well enter into our IIoT vocabulary during 2016 too.
进一步俯瞰，我相信这些技术只是冰山一角。在我的最后一篇文章中的补充（“破坏性的拐点“2015年11月”），我暗示了自动化层次结构如何从垂直架构更改为更大的水平，其中网状网络普遍存在。我认为那种战略跳跃可能是IIot影响自动化的最终方法。
In other words, we may already be at an inflection point where distributed intelligence becomes a reality and novel interactions between machines and systems in cyberspace will bring completely new ways of working on the plant floor.
Many IT-centric suppliers are already pushing forward to help. Control system vendors are also seeking ways to handle the mass of data. Have they come up with perfect answers yet? No one is quite sure, but at least there is a growing range of options for testing the opportunities.
我公司最近通过推出一个名为Netiot的IIOT解决方案的家庭回应。作为基础设施公司，并将其名称作为连接解决方案提供商，Hilscher有责任执行此操作。嵌入式模块和边缘网关包含在Netiot中的硬件中，但我们不是IT云服务提供商。因此，为了帮助用户测试这些机会，我们为移动诊断和数据分析等常用功能增加了一套服务。
更重要的是，我们还选择与云服务提供商形成关系。我们的EDGE网关已经与IBM的蓝色混音提供集成，我们正在追求类似的安排与其他以其为中心的供应商，以确保最终用户的选择。
Our aim is to make it easy for end users to work with the best IIoT technology that’s out there. We know that whoever gets into this market early has an opportunity to become a disrupter. It’s a massive opportunity, and one you shouldn’t miss.
